Post-crisis communication and renewal: Expanding the parameters of post-crisis discourse

Crisis communication is growing as a field of study due in part to the frequency and high profile nature of recent crises such as 9/11, Anthrax and bioterrorism in the mail supply, the Tsunami in the Southeast Asia, and Hurricanes Katrina and Rita. In each of these crises, the role of communication has been highlighted. Communication is particularly challenging during crises because an immediate response is necessary, because of the looming threat, and because these situations are inherently uncertain. Much of the present literature suggests that managing image during a crisis is critical to an effective response [Benoit, W. L. (1995). Accounts, excuses and apologies. Albany, NY: State University of New York Press; Coombs, W. T. (1999). Ongoing crisis communication: Planning, managing, and responding. Thousand Oaks, CA: Sage; Hearit, K. M. (1995). “Mistakes were made”: Organizations, apologia and crises of social legitimacy. Communication Studies, 46, 1–17]. Although image is important and embedded within the threat, uncertainty, and chaos of crisis so too is the opportunity for growth and renewal. In this case, depending upon the crisis, either issues of image restoration or renewal may emerge as more of a central theme in the post-crisis discourse. This paper argues that renewal, along with image restoration, is an important genre of post-crisis discourse. As a result, efforts to understand post-crisis communication should be expanded to include both image restoration and the discourse of renewal.     

企业管理中人的激励问题探讨

人力资源已经成为企业发展的最关键因素。激励是否科学,直接关系到人力资源运用的好坏。目前,企业激励机制中还存在一些问题:如激励机制缺乏针对性和无差别化,领导层与下属缺乏沟通,激励方式单一,长期激励不足等。企业管理者要采用人性化的管理手段,激励要有针对性和差别性。企业对核心员工还可选择股权激励的方法。     

A New Method for Testing Interaction in Unreplicated Two-Way Analysis of Variance

For a two-way ANOVA table, with a single observation per cell, the standard approach is to assume that interaction between the two factors is negligible, and to base inferences about the main factors on the model without interaction. But there is no totally satisfactory method for testing if interaction can be ignored. The classical approach is to specify a functional form for the interaction terms, involving a small number of parameters, and then use an appropriate test. But, such tests have low power if the functional form is inappropriate. This has led researchers to propose tests which do not assume a specific form for the interactions. In this article, we present a new approach for testing interaction which also does not assume a specific form for the interaction. This approach is fairly simple and flexible, and its usefulness is illustrated with several examples. We also present a general result which shows that there is no test of interaction with good power properties against all types of interaction.     

VARIATION REDUCTION AND ROBUST DESIGNS

In this paper we consider two strategies for variation reduction. One of them is the exploitation of interactions. We also discuss the role of experiments in discovering interactions and in particular the use of robust designs to obtain the interaction between control and noise factors. Then we attempt to reduce the variation in a measurement system using a robust design.     

Marginal Changes in Random Parameters Ordered Response Models with Interaction Terms

Marginal changes of interacted variables and interaction terms in random parameters ordered response models are calculated incorrectly in econometric softwares. We derive the correct formulas for calculating these marginal changes. In our empirical example, we observe significant changes not only in the magnitude of the marginal effects but also in their standard errors, suggesting that the incorrect estimation of the marginal effects of these variables as is commonly practiced can render biased inferences on the findings.     

Hypothesis Testing Problems in an Unbalanced Longitudinal Ophthalmology Study

ABSTRACT

The analysis of clustered data in a longitudinal ophthalmology study is complicated by correlations between repeatedly measured visual outcomes of paired eyes in a participant and missing observations due to the loss of follow-up. In the present article we consider hypothesis testing problems in an ophthalmology study, where eligible eyes are randomized to two treatments (when two eyes of a participant are eligible, the paired eyes are assigned to different treatments), and vision function outcomes are repeatedly measured over time. A large sample-based nonparametric test statistic and a nonparametric Bootstrap test analog are proposed for testing an interaction effect of two factors and testing an effect of a eye-specific factor within a level of the other person-specific factor on visual function outcomes. Both test statistics allow for missing observations, correlations between repeatedly measured outcomes on individual eyes, and correlations between repeatedly measured outcomes on both eyes of each participant. A simulation study shows that these proposed test statistics maintain nominal significance levels approximately and comparable powers to each other, as well as higher powers than the naive test statistic ignoring correlations between repeated bilateral measurements of both eyes in the same person. For illustration, we apply the proposed test statistics to the changes of visual field defect score in the Advanced Glaucoma Intervention Study.     

Navigating choices when applying multiple imputation in the presence of multi-level categorical interaction effects

Multiple imputation (MI) is an appealing option for handling missing data. When implementing MI, however, users need to make important decisions to obtain estimates with good statistical properties. One such decision involves the choice of imputation model–the joint modeling (JM) versus fully conditional specification (FCS) approach. Another involves the choice of method to handle interactions. These include imputing the interaction term as any other variable (active imputation), or imputing the main effects and then deriving the interaction (passive imputation). Our study investigates the best approach to perform MI in the presence of interaction effects involving two categorical variables. Such effects warrant special attention as they involve multiple correlated parameters that are handled differently under JM and FCS modeling. Through an extensive simulation study, we compared active, passive and an improved passive approach under FCS, as JM precludes passive imputation. We additionally compared JM and FCS techniques using active imputation. Performance between active and passive imputation was comparable. The improved passive approach proved superior to the other two particularly when the number of parameters corresponding to the interaction was large. JM without rounding and FCS using active imputation were also mostly comparable, with JM outperforming FCS when the number of parameters was large. In a direct comparison of JM active and FCS improved passive, the latter was the clear winner. We recommend improved passive imputation under FCS along with sensitivity analyses to handle multi-level interaction terms.     

流转税和所得税的福利效应研究

 本文根据我国城市（镇）不同收入阶层1999年至2008年的支出结构数据及现金收入和支出统计状况,测算出我国城镇居民消费支出的有效税率②和所得税额;利用跨期消费决策的两期模型,构造居民消费效用函数,即消费者的福利函数,测算出我国流转税和所得税的福利损失（成本）。结果显示：我国居民消费符合边际消费倾向递减规律;不同收入阶层的消费时间偏好不同,收入水平越低越倾向于当前消费;流转税具有明显的累退效应,而所得税的累进效应,特别是个人所得税的累进效应不明显,使得我国当前的税制结构对收入分配的调节力度不够。     

城乡老年人生活需求满足状况及其对生活满意度的影响——以贵阳市1518份问卷调查为例

利用2010年8月对贵阳市1 518份60岁及以上老年人的调查数据,分析了老年人在经济支持、医疗保健、生活照料、精神慰藉、社会交往和居住安排6个方面生活需求的满足状况,并将它们作为老年人生活满意度的影响因素纳入多元回归分析模型,分析结果发现:经济支持的满足程度是影响老年人生活满意度的最强变量,居住安排没有影响,其他4个方面的影响强度依次是:生活照料、医疗保健、社会交往、精神慰藉。从城乡来看,经济支持的满足程度是影响城镇老年人生活满意度的最强变量,但影响农村老年人生活满意度最强的变量则是生活照料。     

钱谦益与朱鹤龄交往考论

钱谦益和朱鹤龄均为清初的著名学者,同为苏州人士。两人因相近的民族立场和学术旨趣走到一起,合作笺注杜诗达七年之久,但数年之后却因立场和学术分歧反目成仇,演成当时学界有一定影响的公案。文章试图通过二人交往的排比分析,发覆其交好和交恶的真相,揭示二人交往对清初学术的影响。